Comprehensive framework for smart residential demand side management with electric vehicle integration and advanced optimization techniques by Subhasis Panda, Indu Sekhar Samanta, Buddhadeva Sahoo, Pravat Kumar Rout, Binod Kumar Sahu, Mohit Bajaj, Vojtech Blazek, Lukas Prokop, Stanislav Misak

“…The paper aims to formulate a robust and efficient RDSM technique to provide an energy utilization scheduling considering various influential factors and critical roles of EVs in RDSM. A Binary Whale Optimization Algorithm (BWOA) approach is proposed as an efficient algorithm for EV’s impact on the RDSM for better energy scheduling. …”
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Nutritional status and barriers to optimal nutrition among pediatric patients with cancer in tanzania: a quantitative analysis by Deogratias M. Katabalo, Yadurshini Raveendran, Anthony Cuthbert Liwa, Benson R. Kidenya, Kristin Schroeder

“…Binary logistic regression was used to explore predictors of undernutrition. …”
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Determining the Optimal Thermodynamic Conditions of Ternary Systems Containing (CO2, Solvent, 5-Fluorouracil) in the GAS Process by M. Rahmanzadeh Derisi, N. Esfandiari

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Banking regulation and banking crises Probability in european countries by M. M. Mursalov

“…The conducted empirical analysis declared the need to tighten banking regulations in the field of non-performing loan control since it leads to an increase in the banking crisis probability. The results of binary modeling also emphasized the importance of macroeconomic and monetary factors, the neglect of which leads to the vulnerability of banking institutions and, consequently, to banking crises.An important conclusion of the analysis is that in order to minimize systemic banking crises, it is necessary to ensure the achievement of the target parameters of the main macroeconomic indicators, expressed in terms of the optimal level of inflation and annual GDP growth. …”
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Development characteristics and potential of fault-fracture reservoir in southwest margin of Ordos Basin by HE Faqi, LI Junlu, GAO Yilong, WU Jinwei, BAI Xingying, GAO Dun

“…This strategic approach enhances understanding and management of fault-fracture reservoirs, optimizing resource extraction and improving operational efficiencies.…”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…Suggestions on the optimal location of stations are given in consideration of competitors. …”
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Alocação de referees para avaliar trabalhos submetidos a um congresso de grande porte: modelo e caso ENEGEP by Flavio Cesar F. Fernandes, Evelyn Rios

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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…It also applies feature selection based on minimum redundancy maximum relevance to the integrated deep and handcrafted features, guaranteeing optimal computational efficiency and high diagnostic accuracy. …”
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A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI. by Balraj Preet Kaur, Harpreet Singh, Rahul Hans, Sanjeev Kumar Sharma, Chetna Sharma, Md Mehedi Hassan

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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A robust chronic obstructive pulmonary disease classification model using dragonfly optimized kernel extreme learning machine by S. Chitra, Tariq Mohammed Alqahtani, Abdulrahman Alduraywish, Mohamed Yacin Sikkandar

“…Kernel extreme learning machine-based classification is conducted further, and the results produced are optimized using dragon fly optimization algorithm. …”
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An Optimization Strategy for Unit Commitment in High Wind Power Penetration Power Systems Considering Demand Response and Frequency Stability Constraints by Minhui Qian, Jiachen Wang, Dejian Yang, Hongqiao Yin, Jiansheng Zhang

“…In addition, the frequency variation considering frequency safety constraints has also been significantly improved. The improved binary particle swarm optimization algorithm has promising application prospects in solving the accommodation problem brought by large-scale wind power integration.…”
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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

“…To identify different types of pediatric brain tumors, we specifically develop an optimal residual learning architecture. We also present the Spider Wasp Optimization (SWO) algorithm, which aims to improve performance by feature selection. …”
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Optimizing polyphenol extraction from Anacyclus pyrethrum var. depressus (Ball) Maire roots: a simplex-centroid mixture design approach by Oumaima Chater, Smail Aazza, Hiba Bouzaid, Lahsen El Ghadraoui

“…Methods: Eleven solvents were tested for their affinities with A. pyrethrum bioactive molecules, and the three best solvents (water, methanol, and ethanol) were subjected to mixing modeling for optimization, and different models were developed to study the binary and ternary combined effects. …”
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The Control of Shield Tunnel Construction-Induced Ground Settlement Based on an Optimized Gap Parameter Theory and Three-Dimensional Finite Element Analysis by Hanzhang Guo, Guangcheng Zhang, Zhihong Wu, Jiaqi Wang

“…To summarize, the proposed optimized gap parameter theory, combined with the corresponding numerical simulation technology, provides a good tool for the control of ground settlement caused by shield tunnel excavation in complex strata, such as binary structure strata.…”
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Mixture design as an innovative tool to optimize the antioxidant and antibacterial activity of moroccan essential oils: Clinopodium nepeta, Ruta montana, and Dittrichia viscosa

“…The results of this study revealed that the optimal combination against E. coli conformed to 25% RMEO, 50% CNEO, and 25% DVEO, while the optimal mixture estimated against M. luteus was adjusted by the binary combination of 36% RMEO and 64% CNEO. …”
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Explainable clinical diagnosis through unexploited yet optimized fine-tuned ConvNeXt Models for accurate monkeypox disease classification by Muhammad Waqar, Zeshan Aslam Khan, Shanzey Tariq Khawaja, Naveed Ishtiaq Chaudhary, Saadia Khan, Khalid Mehmood Cheema, Muhammad Farhan Khan, Syed Sohail Ahmed, Muhammad Asif Zahoor Raja

“…Promising accurate results of 99.9 % on the benchmark MSLD (binary class) dataset and 94 % on the MSLD v2.0 (multi-class) dataset is obtained by fine-tuned TL-based ConvNeXtSmall and ConvNeXtBase architecture with Adafactor optimization technique, demonstrating the practicality of the suggested framework as a substitute for the current ones. …”
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Harnessing Work Function Modulation for Hydrogen Evolution Catalysis in Mesoporous Bimetallic Pt‐M Alloys: The Role of Mesopores in Work Function Optimization by Lei Fu, Yunqing Kang, Ho Ngoc Nam, Kaiteng Wang, Zilin Zhou, Yingji Zhao, Quan Manh Phung, Kai Wu, Yusuke Asakura, Jun Zhou, Yusuke Yamauchi

“…This work not only provides a simple method for the fabrication of well‐defined binary metallic alloy films but also offers experimental insights into the rational design of highly efficient electrocatalysts with tunable WFs.…”
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A State-of-the-Art Review on Micro-Machining of Nitinol Shape Memory Alloys and Optimization of Process Variables Considering the Future Trends of Research by Souradeep Dutta, Deba Kumar Sarma, Jay Vora, Rakesh Chaudhari, Abhijit Bhowmik, Priyaranjan Samal, Sakshum Khanna

“…In this review process, the surface integrity, dimensional accuracy of the machined surface, cutting force and tool wear analysis during conventional and non-conventional micro-machining of NiTi SMA are evaluated mostly with the aid of input process variables like cutting speed, depth of cut, width of cut, types of coolants, tool coating, discharge voltage, capacitance, laser fluence, pulse duration, scan speed, electrolysis concentration and gap voltage. The optimization of process parameters using different methods during conventional and non-conventional micro-machining of NiTi SMAs is also analyzed. …”
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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…Features were selected by using binary meta-heuristic optimization methods including differential evolution optimization (DEO), grey wolf optimization (GWO), Harris hawks optimization (HHO) and particle swarm optimization (PSO). …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…Next, to solve the data imbalance problem, Conditional Generative Adversarial Networks (CGAN) are employed. After that, the Binary Genetic Dung Beetle Optimization (B-GDBO) method is utilized for optimal feature selection and also reduces the risk of overfitting. …”
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